AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs | Paper Citation Record

Observation 0e19b373-b409-43e9-93a3-da0614f5f736 · outbound

This paper cites Smoothness sensor: Adaptive smoothness-transition graph convolutions for attributed graph clustering,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Smoothness sensor: Adaptive smoothness-transition graph convolutions for attributed graph clustering,

Reference 1

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Observation 39adb14a-2d8d-4c08-95f1-50809e65fcd4 · outbound

This paper cites Harnessing multimodal large language models for traffic knowledge graph generation and decision-making,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Harnessing multimodal large language models for traffic knowledge graph generation and decision-making,

Reference 2

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This paper cites Redundancy is not what you need: An embedding fusion graph auto-encoder for self-supervised graph representation learning,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Redundancy is not what you need: An embedding fusion graph auto-encoder for self-supervised graph representation learning,

Reference 3

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This paper cites Semi-supervised graph structure learning via dual reinforcement of label and prior structure,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Semi-supervised graph structure learning via dual reinforcement of label and prior structure,

Reference 4

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This paper cites Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction

Reference 5

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This paper cites Graph representation learning via graphical mutual information maxi- mization,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Graph representation learning via graphical mutual information maxi- mization,

Reference 6

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This paper cites A comprehensive survey on imputation of missing data in internet of things,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A comprehensive survey on imputation of missing data in internet of things,

Reference 7

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Observation 2157b7ca-de29-4d95-bb3c-7ec4d9072198 · outbound

This paper cites A novel representation learning for dynamic graphs based on graph convolutional networks,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A novel representation learning for dynamic graphs based on graph convolutional networks,

Reference 8

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This paper cites Scae: Struc- tural contrastive auto-encoder for incomplete multi-view representation learning,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Scae: Struc- tural contrastive auto-encoder for incomplete multi-view representation learning,

Reference 9

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This paper cites Handling missing data with graph representation learning,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Handling missing data with graph representation learning,

Reference 10

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This paper cites Fair Attribute Completion on Graph with Missing Attributes.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Fair Attribute Completion on Graph with Missing Attributes

Reference 11

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This paper cites Learning on attribute-missing graphs,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Learning on attribute-missing graphs,

Reference 12

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This paper cites Accurate node feature estimation with structured variational graph autoencoder,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Accurate node feature estimation with structured variational graph autoencoder,

Reference 13

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This paper cites Initializing then refining: A simple graph attribute imputation network,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Initializing then refining: A simple graph attribute imputation network,

Reference 14

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This paper cites Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,

Reference 15

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Observation 1054d61f-3240-47fb-80e5-27f16af0d3ba · outbound

This paper cites On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features,

Reference 16

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Observation 1c8211eb-c10a-4bf0-89cc-973e3643d9fb · outbound

This paper cites Confidence-Based Feature Imputation for Graphs with Partially Known Features.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Confidence-Based Feature Imputation for Graphs with Partially Known Features

Reference 17

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This paper cites Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

Reference 18

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This paper cites Multiview deep graph infomax to achieve unsupervised graph embedding,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Multiview deep graph infomax to achieve unsupervised graph embedding,

Reference 19

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This paper cites Predict then Propagate: Graph Neural Networks meet Personalized PageRank.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 20

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This paper cites A Stochastic Approximation Method,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A Stochastic Approximation Method,

Reference 21

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Observation d7b1b527-ccfd-4c54-bf58-4b421e9d51a8 · outbound

This paper cites Navigating networks by using homophily and degree,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Navigating networks by using homophily and degree,

Reference 22

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AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A singular value thresholding algorithm for matrix completion,

Reference 23

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AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Incomplete multiview spectral clustering with adaptive graph learning,

Reference 24

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This paper cites Generalized incomplete multiview clustering with flexible locality structure diffusion,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Generalized incomplete multiview clustering with flexible locality structure diffusion,

Reference 25

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This paper cites Tensor completion-based incomplete multiview clustering,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Tensor completion-based incomplete multiview clustering,

Reference 26

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This paper cites Differentiated anchor quantity assisted incomplete multiview clustering without number-tuning,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Differentiated anchor quantity assisted incomplete multiview clustering without number-tuning,

Reference 27

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This paper cites Gain: Missing data imputation using generative adversarial nets,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Gain: Missing data imputation using generative adversarial nets,

Reference 28

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AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Graph recurrent networks with attributed random walks,

Reference 29

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AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Attributed random walk as matrix factorization,

Reference 30

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AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Missing data imputation with adversarially-trained graph convolutional networks,

Reference 31

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AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Graph convolutional networks for graphs containing missing features,

Reference 32

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This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Semi-Supervised Classification with Graph Convolutional Networks

Reference 33

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AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Local computations with proba- bilities on graphical structures and their application to expert systems,

Reference 34

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This paper cites Amer: A new attribute-missing network embedding approach,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Amer: A new attribute-missing network embedding approach,

Reference 35

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This paper cites Handling missing data via max-entropy regularized graph autoencoder,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Handling missing data via max-entropy regularized graph autoencoder,

Reference 36

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This paper cites Csat: Contrastive sampling-aggregating transformer for community detection in attribute-missing networks,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Csat: Contrastive sampling-aggregating transformer for community detection in attribute-missing networks,

Reference 37

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This paper cites Multi-view graph imputation network,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Multi-view graph imputation network,

Reference 38

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This paper cites Pre-training graph neural networks for cold-start users and items representation,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Pre-training graph neural networks for cold-start users and items representation,

Reference 39

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This paper cites An unified search and recommendation foundation model for cold-start scenario,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs An unified search and recommendation foundation model for cold-start scenario,

Reference 40

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This paper cites User cold-start recom- mendation via inductive heterogeneous graph neural network,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs User cold-start recom- mendation via inductive heterogeneous graph neural network,

Reference 41

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Observation fd4859f9-dd72-496e-b6fc-5a491ac7d0ff · outbound

This paper cites Extract the knowledge of graph neural net- works and go beyond it: An effective knowledge distillation framework,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Extract the knowledge of graph neural net- works and go beyond it: An effective knowledge distillation framework,

Reference 42

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This paper cites Aligning distillation for cold-start item recommendation,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Aligning distillation for cold-start item recommendation,

Reference 43

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This paper cites A variational method in image recovery,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A variational method in image recovery,

Reference 44

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This paper cites A survey of shape analysis techniques,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A survey of shape analysis techniques,

Reference 45

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This paper cites an unresolved cited work.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Unresolved cited work

Reference 46

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This paper cites Sur les op ´erations dans les ensembles abstraits et leur application aux ´equations int ´egrales,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Sur les op ´erations dans les ensembles abstraits et leur application aux ´equations int ´egrales,

Reference 47

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This paper cites Graph Attention Networks.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Graph Attention Networks

Reference 48

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AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Simplifying graph convolutional networks,

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Observation 676a0b03-17c0-4d15-8d41-af26ed6f312f · outbound

This paper cites Revisiting semi-supervised learning with graph embeddings,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Revisiting semi-supervised learning with graph embeddings,

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Observation 265749f9-4c00-4dad-90dc-289a736497e1 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Pitfalls of Graph Neural Network Evaluation

Reference 51

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Observation f9c8ec62-4848-495b-9517-3608e4db10aa · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Open graph benchmark: Datasets for machine learning on graphs,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:52:59.616190Z

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Observation e34562ad-fcc3-455f-beba-93ae0d2dd66e · outbound

This paper cites Inductive representation learning on large graphs,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Inductive representation learning on large graphs,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:52:59.599341Z

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Observation 2dec4b8a-e51a-4f5c-b49f-4f714867f3a5 · outbound

This paper cites an unresolved cited work.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Unresolved cited work

Reference 2009

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:52:59.583869Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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